# !pip install git+https://github.com/alberanid/imdbpy
# !pip install pandas
# !pip install numpy
# !pip install matplotlib
# !pip install seaborn
# !pip install pandas_profiling --upgrade
# !pip install plotly
# !pip install wordcloud
# !pip install Flask
# Import Dataset
# Import File from Loacal Drive
# from google.colab import files
# data_to_load = files.upload()
# from google.colab import drive
# drive.mount('/content/drive')
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
import collections
import plotly.express as px
import plotly.graph_objects as go
import nltk
import re
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.probability import FreqDist
from nltk.util import ngrams
from plotly.subplots import make_subplots
from plotly.offline import iplot, init_notebook_mode
from wordcloud import WordCloud, STOPWORDS
from pandas_profiling import ProfileReport
%matplotlib inline
warnings.filterwarnings("ignore")
nltk.download('all')
[nltk_data] Downloading collection 'all' [nltk_data] | [nltk_data] | Downloading package abc to [nltk_data] | C:\Users\pawan\AppData\Roaming\nltk_data... [nltk_data] | Package abc is already up-to-date! [nltk_data] | Downloading package alpino to [nltk_data] | C:\Users\pawan\AppData\Roaming\nltk_data... [nltk_data] | Package alpino is already up-to-date! [nltk_data] | Downloading package biocreative_ppi to [nltk_data] | C:\Users\pawan\AppData\Roaming\nltk_data... [nltk_data] | Package biocreative_ppi is already up-to-date! [nltk_data] | Downloading package brown to [nltk_data] | C:\Users\pawan\AppData\Roaming\nltk_data... [nltk_data] | Package brown is already up-to-date! [nltk_data] | Downloading package brown_tei to [nltk_data] | C:\Users\pawan\AppData\Roaming\nltk_data... [nltk_data] | Package brown_tei is already up-to-date! [nltk_data] | Downloading package cess_cat to [nltk_data] | C:\Users\pawan\AppData\Roaming\nltk_data... [nltk_data] | Package cess_cat is already up-to-date! 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[nltk_data] | [nltk_data] Done downloading collection all
True
# path = '/content/drive/MyDrive/Files/'
path = 'C:\\Users\\pawan\\OneDrive\\Desktop\\ott\\Data\\'
df_tvshows = pd.read_csv(path + 'otttvshows.csv')
df_tvshows.head()
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | Language | Plotline | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Snowpiercer | 2013 | 18+ | 6.9 | 94% | NaN | Daveed Diggs,Iddo Goldberg,Mickey Sumner,Aliso... | Action,Drama,Sci-Fi,Thriller | United States | English | Set seven years after the world has become a f... | 60.0 | tv series | 3.0 | 1 | 0 | 0 | 0 | 1 |
| 1 | 2 | Philadelphia | 1993 | 13+ | 8.8 | 80% | NaN | Charlie Day,Glenn Howerton,Rob McElhenney,Kait... | Comedy | United States | English | The gang, 5 raging alcoholic, narcissists run ... | 22.0 | tv series | 18.0 | 1 | 0 | 0 | 0 | 1 |
| 2 | 3 | Roma | 2018 | 18+ | 8.7 | 93% | NaN | Kevin McKidd,Ray Stevenson,Polly Walker,Kerry ... | Action,Drama,History,Romance,War | United Kingdom,United States | English | In this British historical drama, the turbulen... | 52.0 | tv series | 2.0 | 1 | 0 | 0 | 0 | 1 |
| 3 | 4 | Amy | 2015 | 18+ | 7.0 | 87% | NaN | Amy Brenneman,Richard T. Jones,Jessica Tuck,Ma... | Drama | United States | English | A family drama focused on three generations of... | 60.0 | tv series | 6.0 | 1 | 0 | 1 | 1 | 1 |
| 4 | 5 | The Young Offenders | 2016 | NaN | 8.0 | 100% | NaN | Alex Murphy,Chris Walley,Hilary Rose,Dominic M... | Comedy | United Kingdom,Ireland | English | NaN | 30.0 | tv series | 3.0 | 1 | 0 | 0 | 0 | 1 |
# profile = ProfileReport(df_tvshows)
# profile
def data_investigate(df):
print('No of Rows : ', df.shape[0])
print('No of Coloums : ', df.shape[1])
print('**'*25)
print('Colums Names : \n', df.columns)
print('**'*25)
print('Datatype of Columns : \n', df.dtypes)
print('**'*25)
print('Missing Values : ')
c = df.isnull().sum()
c = c[c > 0]
print(c)
print('**'*25)
print('Missing vaules %age wise :\n')
print((100*(df.isnull().sum()/len(df.index))))
print('**'*25)
print('Pictorial Representation : ')
plt.figure(figsize = (10, 10))
sns.heatmap(df.isnull(), yticklabels = False, cbar = False)
plt.show()
data_investigate(df_tvshows)
No of Rows : 5432
No of Coloums : 20
**************************************************
Colums Names :
Index(['ID', 'Title', 'Year', 'Age', 'IMDb', 'Rotten Tomatoes', 'Directors',
'Cast', 'Genres', 'Country', 'Language', 'Plotline', 'Runtime', 'Kind',
'Seasons', 'Netflix', 'Hulu', 'Prime Video', 'Disney+', 'Type'],
dtype='object')
**************************************************
Datatype of Columns :
ID int64
Title object
Year int64
Age object
IMDb float64
Rotten Tomatoes object
Directors object
Cast object
Genres object
Country object
Language object
Plotline object
Runtime float64
Kind object
Seasons float64
Netflix int64
Hulu int64
Prime Video int64
Disney+ int64
Type int64
dtype: object
**************************************************
Missing Values :
Age 1954
IMDb 556
Rotten Tomatoes 4194
Directors 5158
Cast 486
Genres 323
Country 549
Language 638
Plotline 2493
Runtime 1410
Seasons 679
dtype: int64
**************************************************
Missing vaules %age wise :
ID 0.000000
Title 0.000000
Year 0.000000
Age 35.972018
IMDb 10.235641
Rotten Tomatoes 77.209131
Directors 94.955817
Cast 8.946981
Genres 5.946244
Country 10.106775
Language 11.745214
Plotline 45.894698
Runtime 25.957290
Kind 0.000000
Seasons 12.500000
Netflix 0.000000
Hulu 0.000000
Prime Video 0.000000
Disney+ 0.000000
Type 0.000000
dtype: float64
**************************************************
Pictorial Representation :
# ID
# df_tvshows = df_tvshows.drop(['ID'], axis = 1)
# Age
df_tvshows.loc[df_tvshows['Age'].isnull() & df_tvshows['Disney+'] == 1, "Age"] = '13'
# df_tvshows.fillna({'Age' : 18}, inplace = True)
df_tvshows.fillna({'Age' : 'NR'}, inplace = True)
df_tvshows['Age'].replace({'all': '0'}, inplace = True)
df_tvshows['Age'].replace({'7+': '7'}, inplace = True)
df_tvshows['Age'].replace({'13+': '13'}, inplace = True)
df_tvshows['Age'].replace({'16+': '16'}, inplace = True)
df_tvshows['Age'].replace({'18+': '18'}, inplace = True)
# df_tvshows['Age'] = df_tvshows['Age'].astype(int)
# IMDb
# df_tvshows.fillna({'IMDb' : df_tvshows['IMDb'].mean()}, inplace = True)
# df_tvshows.fillna({'IMDb' : df_tvshows['IMDb'].median()}, inplace = True)
df_tvshows.fillna({'IMDb' : "NA"}, inplace = True)
# Rotten Tomatoes
df_tvshows['Rotten Tomatoes'] = df_tvshows['Rotten Tomatoes'][df_tvshows['Rotten Tomatoes'].notnull()].str.replace('%', '').astype(int)
# df_tvshows['Rotten Tomatoes'] = df_tvshows['Rotten Tomatoes'][df_tvshows['Rotten Tomatoes'].notnull()].astype(int)
# df_tvshows.fillna({'Rotten Tomatoes' : df_tvshows['Rotten Tomatoes'].mean()}, inplace = True)
# df_tvshows.fillna({'Rotten Tomatoes' : df_tvshows['Rotten Tomatoes'].median()}, inplace = True)
# df_tvshows['Rotten Tomatoes'] = df_tvshows['Rotten Tomatoes'].astype(int)
df_tvshows.fillna({'Rotten Tomatoes' : "NA"}, inplace = True)
# Directors
# df_tvshows = df_tvshows.drop(['Directors'], axis = 1)
df_tvshows.fillna({'Directors' : "NA"}, inplace = True)
# Cast
df_tvshows.fillna({'Cast' : "NA"}, inplace = True)
# Genres
df_tvshows.fillna({'Genres': "NA"}, inplace = True)
# Country
df_tvshows.fillna({'Country': "NA"}, inplace = True)
# Language
df_tvshows.fillna({'Language': "NA"}, inplace = True)
# Plotline
df_tvshows.fillna({'Plotline': "NA"}, inplace = True)
# Runtime
# df_tvshows.fillna({'Runtime' : df_tvshows['Runtime'].mean()}, inplace = True)
# df_tvshows['Runtime'] = df_tvshows['Runtime'].astype(int)
df_tvshows.fillna({'Runtime' : "NA"}, inplace = True)
# Kind
# df_tvshows.fillna({'Kind': "NA"}, inplace = True)
# Type
# df_tvshows.fillna({'Type': "NA"}, inplace = True)
# df_tvshows = df_tvshows.drop(['Type'], axis = 1)
# Seasons
# df_tvshows.fillna({'Seasons': 1}, inplace = True)
df_tvshows.fillna({'Seasons': "NA"}, inplace = True)
# df_tvshows = df_tvshows.drop(['Seasons'], axis = 1)
# df_tvshows['Seasons'] = df_tvshows['Seasons'].astype(int)
# df_tvshows.fillna({'Seasons' : df_tvshows['Seasons'].mean()}, inplace = True)
# df_tvshows['Seasons'] = df_tvshows['Seasons'].astype(int)
# Service Provider
df_tvshows['Service Provider'] = df_tvshows.loc[:, ['Netflix', 'Prime Video', 'Disney+', 'Hulu']].idxmax(axis = 1)
# df_tvshows.drop(['Netflix','Prime Video','Disney+','Hulu'], axis = 1)
# Removing Duplicate and Missing Entries
df_tvshows.dropna(how = 'any', inplace = True)
df_tvshows.drop_duplicates(inplace = True)
data_investigate(df_tvshows)
No of Rows : 5432
No of Coloums : 21
**************************************************
Colums Names :
Index(['ID', 'Title', 'Year', 'Age', 'IMDb', 'Rotten Tomatoes', 'Directors',
'Cast', 'Genres', 'Country', 'Language', 'Plotline', 'Runtime', 'Kind',
'Seasons', 'Netflix', 'Hulu', 'Prime Video', 'Disney+', 'Type',
'Service Provider'],
dtype='object')
**************************************************
Datatype of Columns :
ID int64
Title object
Year int64
Age object
IMDb object
Rotten Tomatoes object
Directors object
Cast object
Genres object
Country object
Language object
Plotline object
Runtime object
Kind object
Seasons object
Netflix int64
Hulu int64
Prime Video int64
Disney+ int64
Type int64
Service Provider object
dtype: object
**************************************************
Missing Values :
Series([], dtype: int64)
**************************************************
Missing vaules %age wise :
ID 0.0
Title 0.0
Year 0.0
Age 0.0
IMDb 0.0
Rotten Tomatoes 0.0
Directors 0.0
Cast 0.0
Genres 0.0
Country 0.0
Language 0.0
Plotline 0.0
Runtime 0.0
Kind 0.0
Seasons 0.0
Netflix 0.0
Hulu 0.0
Prime Video 0.0
Disney+ 0.0
Type 0.0
Service Provider 0.0
dtype: float64
**************************************************
Pictorial Representation :
df_tvshows.head()
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Plotline | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Snowpiercer | 2013 | 18 | 6.9 | 94 | NA | Daveed Diggs,Iddo Goldberg,Mickey Sumner,Aliso... | Action,Drama,Sci-Fi,Thriller | United States | ... | Set seven years after the world has become a f... | 60 | tv series | 3 | 1 | 0 | 0 | 0 | 1 | Netflix |
| 1 | 2 | Philadelphia | 1993 | 13 | 8.8 | 80 | NA | Charlie Day,Glenn Howerton,Rob McElhenney,Kait... | Comedy | United States | ... | The gang, 5 raging alcoholic, narcissists run ... | 22 | tv series | 18 | 1 | 0 | 0 | 0 | 1 | Netflix |
| 2 | 3 | Roma | 2018 | 18 | 8.7 | 93 | NA | Kevin McKidd,Ray Stevenson,Polly Walker,Kerry ... | Action,Drama,History,Romance,War | United Kingdom,United States | ... | In this British historical drama, the turbulen... | 52 | tv series | 2 | 1 | 0 | 0 | 0 | 1 | Netflix |
| 3 | 4 | Amy | 2015 | 18 | 7 | 87 | NA | Amy Brenneman,Richard T. Jones,Jessica Tuck,Ma... | Drama | United States | ... | A family drama focused on three generations of... | 60 | tv series | 6 | 1 | 0 | 1 | 1 | 1 | Netflix |
| 4 | 5 | The Young Offenders | 2016 | NR | 8 | 100 | NA | Alex Murphy,Chris Walley,Hilary Rose,Dominic M... | Comedy | United Kingdom,Ireland | ... | NA | 30 | tv series | 3 | 1 | 0 | 0 | 0 | 1 | Netflix |
5 rows × 21 columns
df_tvshows.describe()
| ID | Year | Netflix | Hulu | Prime Video | Disney+ | Type | |
|---|---|---|---|---|---|---|---|
| count | 5432.000000 | 5432.000000 | 5432.000000 | 5432.000000 | 5432.000000 | 5432.000000 | 5432.0 |
| mean | 2716.500000 | 2010.668446 | 0.341311 | 0.293999 | 0.403351 | 0.033689 | 1.0 |
| std | 1568.227662 | 11.726176 | 0.474193 | 0.455633 | 0.490615 | 0.180445 | 0.0 |
| min | 1.000000 | 1901.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| 25% | 1358.750000 | 2009.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| 50% | 2716.500000 | 2014.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| 75% | 4074.250000 | 2017.000000 | 1.000000 | 1.000000 | 1.000000 | 0.000000 | 1.0 |
| max | 5432.000000 | 2020.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.0 |
df_tvshows.corr()
| ID | Year | Netflix | Hulu | Prime Video | Disney+ | Type | |
|---|---|---|---|---|---|---|---|
| ID | 1.000000 | -0.031346 | -0.646330 | 0.034293 | 0.441264 | 0.195409 | NaN |
| Year | -0.031346 | 1.000000 | 0.222316 | -0.065807 | -0.198675 | -0.022741 | NaN |
| Netflix | -0.646330 | 0.222316 | 1.000000 | -0.366515 | -0.515086 | -0.119344 | NaN |
| Hulu | 0.034293 | -0.065807 | -0.366515 | 1.000000 | -0.377374 | -0.075701 | NaN |
| Prime Video | 0.441264 | -0.198675 | -0.515086 | -0.377374 | 1.000000 | -0.151442 | NaN |
| Disney+ | 0.195409 | -0.022741 | -0.119344 | -0.075701 | -0.151442 | 1.000000 | NaN |
| Type | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
# df_tvshows.sort_values('Year', ascending = True)
# df_tvshows.sort_values('IMDb', ascending = False)
# df_tvshows.to_csv(path_or_buf= '/content/drive/MyDrive/Files/updated_otttvshows.csv', index = False)
# path = '/content/drive/MyDrive/Files/'
# udf_tvshows = pd.read_csv(path + 'updated_otttvshows.csv')
# udf_tvshows
# df_netflix_tvshows = df_tvshows.loc[(df_tvshows['Netflix'] > 0)]
# df_hulu_tvshows = df_tvshows.loc[(df_tvshows['Hulu'] > 0)]
# df_prime_video_tvshows = df_tvshows.loc[(df_tvshows['Prime Video'] > 0)]
# df_disney_tvshows = df_tvshows.loc[(df_tvshows['Disney+'] > 0)]
df_netflix_only_tvshows = df_tvshows[(df_tvshows['Netflix'] == 1) & (df_tvshows['Hulu'] == 0) & (df_tvshows['Prime Video'] == 0 ) & (df_tvshows['Disney+'] == 0)]
df_hulu_only_tvshows = df_tvshows[(df_tvshows['Netflix'] == 0) & (df_tvshows['Hulu'] == 1) & (df_tvshows['Prime Video'] == 0 ) & (df_tvshows['Disney+'] == 0)]
df_prime_video_only_tvshows = df_tvshows[(df_tvshows['Netflix'] == 0) & (df_tvshows['Hulu'] == 0) & (df_tvshows['Prime Video'] == 1 ) & (df_tvshows['Disney+'] == 0)]
df_disney_only_tvshows = df_tvshows[(df_tvshows['Netflix'] == 0) & (df_tvshows['Hulu'] == 0) & (df_tvshows['Prime Video'] == 0 ) & (df_tvshows['Disney+'] == 1)]
df_tvshows_directors = df_tvshows.copy()
df_tvshows_directors.drop(df_tvshows_directors.loc[df_tvshows_directors['Directors'] == "NA"].index, inplace = True)
# df_tvshows_directors = df_tvshows_directors[df_tvshows_directors.Director != "NA"]
# df_tvshows_directors['Director'] = df_tvshows_directors['Director'].astype(str)
df_tvshows_count_directors = df_tvshows_directors.copy()
df_tvshows_director = df_tvshows_directors.copy()
# Create directors dict where key=name and value = number of directors
directors = {}
for i in df_tvshows_count_directors['Directors'].dropna():
if i != "NA":
#print(i,len(i.split(',')))
directors[i] = len(i.split(','))
else:
directors[i] = 0
# Add this information to our dataframe as a new column
df_tvshows_count_directors['Number of Directors'] = df_tvshows_count_directors['Directors'].map(directors).astype(int)
df_tvshows_mixed_directors = df_tvshows_count_directors.copy()
# Creating distinct dataframes only with the tvshows present on individual streaming platforms
netflix_directors_tvshows = df_tvshows_count_directors.loc[df_tvshows_count_directors['Netflix'] == 1]
hulu_directors_tvshows = df_tvshows_count_directors.loc[df_tvshows_count_directors['Hulu'] == 1]
prime_video_directors_tvshows = df_tvshows_count_directors.loc[df_tvshows_count_directors['Prime Video'] == 1]
disney_directors_tvshows = df_tvshows_count_directors.loc[df_tvshows_count_directors['Disney+'] == 1]
plt.figure(figsize = (10, 10))
corr = df_tvshows_count_directors.corr()
# Plot figsize
fig, ax = plt.subplots(figsize=(10, 8))
# Generate Heat Map, alleast annotations and place floats in map
sns.heatmap(corr, cmap = 'magma', annot = True, fmt = ".2f")
# Apply xticks
plt.xticks(range(len(corr.columns)), corr.columns);
# Apply yticks
plt.yticks(range(len(corr.columns)), corr.columns)
# show plot
plt.show()
fig.show()
<Figure size 720x720 with 0 Axes>
df_directors_most_tvshows = df_tvshows_count_directors.sort_values(by = 'Number of Directors', ascending = False).reset_index()
df_directors_most_tvshows = df_directors_most_tvshows.drop(['index'], axis = 1)
# filter = (df_tvshows_count_directors['Number of Directors'] == (df_tvshows_count_directors['Number of Directors'].max()))
# df_directors_most_tvshows = df_tvshows_count_directors[filter]
# mostest_rated_tvshows = df_tvshows_count_directors.loc[df_tvshows_count_directors['Number of Directors'].idxmax()]
print('\nTV Shows with Highest Ever Number of Directors are : \n')
df_directors_most_tvshows.head(5)
TV Shows with Highest Ever Number of Directors are :
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 54 | Stretch Armstrong: The Breakout | 2018 | NR | 6.6 | NA | Victor Cook,Kevin Altieri,Alan Caldwell,Victor... | Ogie Banks,Clancy Brown,Yvette Nicole Brown,Ga... | Animation,Short,Action,Adventure,Comedy,Sci-Fi | NA | ... | NA | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 5 |
| 1 | 3618 | Andy Explores | 2019 | NR | NA | NA | Aaron Basch,Trevor Morris,Chris Olivas,Peter S... | Ronnie Das,Jordan Sanchez,James Stone,Theresa ... | Documentary,Family,News,Reality-TV | NA | ... | NA | tv series | NA | 0 | 1 | 0 | 0 | 1 | Hulu | 4 |
| 2 | 1560 | Trailer Park Boys: Out of the Park: Europe | 2016 | 18 | 7.8 | NA | Gary Howsam,Mike Smith,John Paul Tremblay,Robb... | John Paul Tremblay,Robb Wells,Mike Smith,Tom M... | Adventure,Comedy,Crime,Drama | NA | ... | NA | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 4 |
| 3 | 26 | K. D. | 2019 | NR | 8.6 | 87 | Rajesh Ranshinge,Prabal Baruah,Suleman Quadri,... | Maya Alagh,Nayan Bhatt,Manav Gohil,Darshan Jar... | Crime,Drama,Mystery,Thriller | NA | ... | 45 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 4 |
| 4 | 492 | Ice Age: The Great Egg-Scapade | 2016 | 7 | 5.9 | NA | Paul Stodolny,Ricardo Curtis,Steve Martino,Mik... | Blake Anderson,Tyree Brown,David Cowgill,Jenni... | Animation,Short,Adventure,Comedy,Family | United States | ... | 25 | tv series | NA | 0 | 0 | 0 | 1 | 1 | Disney+ | 4 |
5 rows × 22 columns
fig = px.bar(y = df_directors_most_tvshows['Title'][:15],
x = df_directors_most_tvshows['Number of Directors'][:15],
color = df_directors_most_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Highest Number of Directors : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
df_directors_least_tvshows = df_tvshows_count_directors.sort_values(by = 'Number of Directors', ascending = True).reset_index()
df_directors_least_tvshows = df_directors_least_tvshows.drop(['index'], axis = 1)
# filter = (df_tvshows_count_directors['Number of Directors'] == (df_tvshows_count_directors['Number of Directors'].min()))
# df_directors_least_tvshows = df_tvshows_count_directors[filter]
print('\nTV Shows with Lowest Ever Number of Directors are : \n')
df_directors_least_tvshows.head(5)
TV Shows with Lowest Ever Number of Directors are :
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7 | A Wednesday! | 2008 | NR | 8.1 | NA | Neeraj Pandey | NA | Comedy,Family,Fantasy,Horror | United States | ... | 104 | tv series | 1 | 1 | 0 | 0 | 0 | 1 | Netflix | 1 |
| 1 | 411 | Checkmate | 2015 | NR | 7.6 | NA | Timothy Woodward Jr. | Anthony George,Doug McClure,Sebastian Cabot,Ke... | Crime,Drama,Mystery | United States | ... | 60 | tv series | 2 | 0 | 0 | 1 | 0 | 1 | Prime Video | 1 |
| 2 | 413 | Demented Death Farm Massacre | 1971 | 18 | 8.3 | NA | Brad Jones | Brad Jones | Comedy | NA | ... | 11 | tv series | NA | 0 | 0 | 1 | 0 | 1 | Prime Video | 1 |
| 3 | 424 | Renfield the Undead | 2011 | NR | 2.8 | NA | Bob Willems | Cory Hart,Julin,Denise Williamson,Natalie Popo... | Comedy,Drama,Horror,Mystery,Sci-Fi,Thriller | NA | ... | 111 | tv series | NA | 0 | 0 | 1 | 0 | 1 | Prime Video | 1 |
| 4 | 427 | Universal Soldiers | 2007 | NR | 6.1 | 56 | Tetsurô Amino | Yasunori Matsumoto,Akira Kamiya,Hirotaka Suzuo... | Animation,Action,Drama,Sci-Fi | Japan | ... | 150 | tv series | 1 | 0 | 0 | 1 | 0 | 1 | Prime Video | 1 |
5 rows × 22 columns
fig = px.bar(y = df_directors_least_tvshows['Title'][:15],
x = df_directors_least_tvshows['Number of Directors'][:15],
color = df_directors_least_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Lowest Number of Directors : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
print(f'''
Total '{df_tvshows_count_directors['Number of Directors'].unique().shape[0]}' unique Number of Directors s were Given, They were Like this,\n
{df_tvshows_count_directors.sort_values(by = 'Number of Directors', ascending = False)['Number of Directors'].unique()}\n
The Highest Number of Directors Ever Any TV Show Got is '{df_directors_most_tvshows['Title'][0]}' : '{df_directors_most_tvshows['Number of Directors'].max()}'\n
The Lowest Number of Directors Ever Any TV Show Got is '{df_directors_least_tvshows['Title'][0]}' : '{df_directors_least_tvshows['Number of Directors'].min()}'\n
''')
Total '5' unique Number of Directors s were Given, They were Like this,
[5 4 3 2 1]
The Highest Number of Directors Ever Any TV Show Got is 'Stretch Armstrong: The Breakout' : '5'
The Lowest Number of Directors Ever Any TV Show Got is 'A Wednesday!' : '1'
netflix_directors_most_tvshows = df_directors_most_tvshows.loc[df_directors_most_tvshows['Netflix']==1].reset_index()
netflix_directors_most_tvshows = netflix_directors_most_tvshows.drop(['index'], axis = 1)
netflix_directors_least_tvshows = df_directors_least_tvshows.loc[df_directors_least_tvshows['Netflix']==1].reset_index()
netflix_directors_least_tvshows = netflix_directors_least_tvshows.drop(['index'], axis = 1)
netflix_directors_most_tvshows.head(5)
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 54 | Stretch Armstrong: The Breakout | 2018 | NR | 6.6 | NA | Victor Cook,Kevin Altieri,Alan Caldwell,Victor... | Ogie Banks,Clancy Brown,Yvette Nicole Brown,Ga... | Animation,Short,Action,Adventure,Comedy,Sci-Fi | NA | ... | NA | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 5 |
| 1 | 1560 | Trailer Park Boys: Out of the Park: Europe | 2016 | 18 | 7.8 | NA | Gary Howsam,Mike Smith,John Paul Tremblay,Robb... | John Paul Tremblay,Robb Wells,Mike Smith,Tom M... | Adventure,Comedy,Crime,Drama | NA | ... | NA | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 4 |
| 2 | 26 | K. D. | 2019 | NR | 8.6 | 87 | Rajesh Ranshinge,Prabal Baruah,Suleman Quadri,... | Maya Alagh,Nayan Bhatt,Manav Gohil,Darshan Jar... | Crime,Drama,Mystery,Thriller | NA | ... | 45 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 4 |
| 3 | 78 | Elles étaient en guerre (1914 - 1918) | 2014 | NR | 7.9 | NA | Fabien Beziat,Hugues Nancy | Nathalie Baye,Edith Wharton,Louise Bodin,Emmel... | Documentary,History | France | ... | 95 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 2 |
| 4 | 65 | All About Asado | 2016 | NR | 6.6 | NA | Tony Bueno,Emily Pattison | Abby Harrison | Talk-Show | United States | ... | 89 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 2 |
5 rows × 22 columns
fig = px.bar(y = netflix_directors_most_tvshows['Title'][:15],
x = netflix_directors_most_tvshows['Number of Directors'][:15],
color = netflix_directors_most_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Highest Number of Directors : Netflix')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
fig = px.bar(y = netflix_directors_least_tvshows['Title'][:15],
x = netflix_directors_least_tvshows['Number of Directors'][:15],
color = netflix_directors_least_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Lowest Number of Directors : Netflix')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
hulu_directors_most_tvshows = df_directors_most_tvshows.loc[df_directors_most_tvshows['Hulu']==1].reset_index()
hulu_directors_most_tvshows = hulu_directors_most_tvshows.drop(['index'], axis = 1)
hulu_directors_least_tvshows = df_directors_least_tvshows.loc[df_directors_least_tvshows['Hulu']==1].reset_index()
hulu_directors_least_tvshows = hulu_directors_least_tvshows.drop(['index'], axis = 1)
hulu_directors_most_tvshows.head(5)
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 3618 | Andy Explores | 2019 | NR | NA | NA | Aaron Basch,Trevor Morris,Chris Olivas,Peter S... | Ronnie Das,Jordan Sanchez,James Stone,Theresa ... | Documentary,Family,News,Reality-TV | NA | ... | NA | tv series | NA | 0 | 1 | 0 | 0 | 1 | Hulu | 4 |
| 1 | 3685 | Lost in the Supermarket | 2016 | NR | 7.5 | NA | Nelson Boles,Raymie Muzquiz | Eva Bella,Katie Crown,Emily Eiden,Sean Giambro... | Animation,Short,Adventure,Comedy,Family | NA | ... | 11 | tv series | NA | 0 | 1 | 0 | 0 | 1 | Hulu | 2 |
| 2 | 2328 | Food Wars! Shokugeki no Soma | 2015 | 18 | 8.3 | NA | Zenith DeGregorio | Zenith DeGregorio | Documentary | NA | ... | NA | tv series | NA | 0 | 1 | 0 | 0 | 1 | Hulu | 1 |
| 3 | 3005 | Elena's Ghost | 2015 | 16 | 7.6 | NA | Fidel Lorite | Tormenta García,Jorge Hernández,Margott,Chema ... | Comedy | NA | ... | NA | tv series | NA | 0 | 1 | 0 | 0 | 1 | Hulu | 1 |
| 4 | 3171 | Too Cute | 2011 | 7 | 8.5 | NA | Brian K. Roberts | Sydney Imbeau,Kiana Madeira,Neil Crone,Wesley ... | Comedy,Family | NA | ... | 22 | tv series | NA | 0 | 1 | 0 | 0 | 1 | Hulu | 1 |
5 rows × 22 columns
fig = px.bar(y = hulu_directors_most_tvshows['Title'][:15],
x = hulu_directors_most_tvshows['Number of Directors'][:15],
color = hulu_directors_most_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Highest Number of Directors : Hulu')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
fig = px.bar(y = hulu_directors_least_tvshows['Title'][:15],
x = hulu_directors_least_tvshows['Number of Directors'][:15],
color = hulu_directors_least_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Lowest Number of Directors : Hulu')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
prime_video_directors_most_tvshows = df_directors_most_tvshows.loc[df_directors_most_tvshows['Prime Video']==1].reset_index()
prime_video_directors_most_tvshows = prime_video_directors_most_tvshows.drop(['index'], axis = 1)
prime_video_directors_least_tvshows = df_directors_least_tvshows.loc[df_directors_least_tvshows['Prime Video']==1].reset_index()
prime_video_directors_least_tvshows = prime_video_directors_least_tvshows.drop(['index'], axis = 1)
prime_video_directors_most_tvshows.head(5)
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 4231 | Kokkoku, Moment by Moment | 2018 | 18 | 8.1 | NA | Takahiro Kawakoshi,Yoji Minaharu,Yoshimitsu Ôh... | Amber Lee Connors,Marissa Lenti,Carl Masterson... | Animation,Drama,Mystery,Thriller | NA | ... | 24 | tv series | NA | 0 | 0 | 1 | 0 | 1 | Prime Video | 3 |
| 1 | 247 | Cruel Summer | 2016 | NR | 8.2 | NA | Kanye West,Alexandre Moors,Elon Rutberg | Chiara Aurelia,Andrea Anders,Benjamin J. Cain ... | Drama,Mystery,Thriller | United States | ... | 45 | tv series | 1 | 0 | 0 | 1 | 0 | 1 | Prime Video | 3 |
| 2 | 402 | Guns And Guts | 1974 | NR | 5.2 | NA | Sam Dolan,Tim Evans | NA | Documentary | NA | ... | 48 | tv series | NA | 0 | 0 | 1 | 0 | 1 | Prime Video | 2 |
| 3 | 165 | Zog | 2019 | NR | 7.4 | NA | Max Lang,Daniel Snaddon | Lenny Henry,Tracey Ullman,Patsy Ferran,Rocco W... | Animation,Short,Comedy,Family | United Kingdom | ... | 26 | tv series | NA | 0 | 0 | 1 | 0 | 1 | Prime Video | 2 |
| 4 | 150 | The Day of the Triffids | 1962 | NR | 5.6 | 76 | Steve Sekely,Freddie Francis | Dougray Scott,Joely Richardson,Eddie Izzard,Br... | Action,Horror,Sci-Fi,Thriller | United Kingdom,Canada | ... | 186 | tv series | 1 | 0 | 0 | 1 | 0 | 1 | Prime Video | 2 |
5 rows × 22 columns
fig = px.bar(y = prime_video_directors_most_tvshows['Title'][:15],
x = prime_video_directors_most_tvshows['Number of Directors'][:15],
color = prime_video_directors_most_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Highest Number of Directors : Prime Video')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
fig = px.bar(y = prime_video_directors_least_tvshows['Title'][:15],
x = prime_video_directors_least_tvshows['Number of Directors'][:15],
color = prime_video_directors_least_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Lowest Number of Directors : Prime Video')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
disney_directors_most_tvshows = df_directors_most_tvshows.loc[df_directors_most_tvshows['Disney+']==1].reset_index()
disney_directors_most_tvshows = disney_directors_most_tvshows.drop(['index'], axis = 1)
disney_directors_least_tvshows = df_directors_least_tvshows.loc[df_directors_least_tvshows['Disney+']==1].reset_index()
disney_directors_least_tvshows = disney_directors_least_tvshows.drop(['index'], axis = 1)
disney_directors_most_tvshows.head(5)
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 492 | Ice Age: The Great Egg-Scapade | 2016 | 7 | 5.9 | NA | Paul Stodolny,Ricardo Curtis,Steve Martino,Mik... | Blake Anderson,Tyree Brown,David Cowgill,Jenni... | Animation,Short,Adventure,Comedy,Family | United States | ... | 25 | tv series | NA | 0 | 0 | 0 | 1 | 1 | Disney+ | 4 |
| 1 | 489 | Phineas and Ferb: Star Wars | 2014 | 0 | 8.2 | NA | Robert Hughes,Sue Perrotto | Vincent Martella,Ella Kennedy,Ashley Tisdale,T... | Animation,Short,Action,Comedy,Family,Musical,S... | United States | ... | 51 | tv series | NA | 0 | 0 | 0 | 1 | 1 | Disney+ | 2 |
| 2 | 497 | The Plausible Impossible | 1956 | 13 | 7.5 | NA | William Beaudine,Wilfred Jackson | Walt Disney,Leopold Stokowski,Clarence Nash | Adventure,Drama,Family | United States | ... | 50 | tv series | NA | 0 | 0 | 0 | 1 | 1 | Disney+ | 2 |
| 3 | 496 | Marvel Rising: Heart of Iron | 2019 | 13 | 4.2 | NA | Sol Choi,Alfred Gimeno | Dee Bradley Baker,Chloe Bennet,Dove Cameron,Ro... | Animation,Short,Action,Adventure,Sci-Fi | United States | ... | 44 | tv series | NA | 0 | 0 | 0 | 1 | 1 | Disney+ | 2 |
| 4 | 490 | Mr. Boogedy | 1986 | 0 | 7.3 | 20 | Allison Pregler | NA | Documentary,Short | NA | ... | 21 | tv series | NA | 0 | 0 | 0 | 1 | 1 | Disney+ | 1 |
5 rows × 22 columns
fig = px.bar(y = disney_directors_most_tvshows['Title'][:15],
x = disney_directors_most_tvshows['Number of Directors'][:15],
color = disney_directors_most_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Highest Number of Directors : Disney+')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
fig = px.bar(y = disney_directors_least_tvshows['Title'][:15],
x = disney_directors_least_tvshows['Number of Directors'][:15],
color = disney_directors_least_tvshows['Number of Directors'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Directors'},
title = 'TV Shows with Lowest Number of Directors : Disney+')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
print(f'''
The TV Show with Highest Number of Directors Ever Got is '{df_directors_most_tvshows['Title'][0]}' : '{df_directors_most_tvshows['Number of Directors'].max()}'\n
The TV Show with Lowest Number of Directors Ever Got is '{df_directors_least_tvshows['Title'][0]}' : '{df_directors_least_tvshows['Number of Directors'].min()}'\n
The TV Show with Highest Number of Directors on 'Netflix' is '{netflix_directors_most_tvshows['Title'][0]}' : '{netflix_directors_most_tvshows['Number of Directors'].max()}'\n
The TV Show with Lowest Number of Directors on 'Netflix' is '{netflix_directors_least_tvshows['Title'][0]}' : '{netflix_directors_least_tvshows['Number of Directors'].min()}'\n
The TV Show with Highest Number of Directors on 'Hulu' is '{hulu_directors_most_tvshows['Title'][0]}' : '{hulu_directors_most_tvshows['Number of Directors'].max()}'\n
The TV Show with Lowest Number of Directors on 'Hulu' is '{hulu_directors_least_tvshows['Title'][0]}' : '{hulu_directors_least_tvshows['Number of Directors'].min()}'\n
The TV Show with Highest Number of Directors on 'Prime Video' is '{prime_video_directors_most_tvshows['Title'][0]}' : '{prime_video_directors_most_tvshows['Number of Directors'].max()}'\n
The TV Show with Lowest Number of Directors on 'Prime Video' is '{prime_video_directors_least_tvshows['Title'][0]}' : '{prime_video_directors_least_tvshows['Number of Directors'].min()}'\n
The TV Show with Highest Number of Directors on 'Disney+' is '{disney_directors_most_tvshows['Title'][0]}' : '{disney_directors_most_tvshows['Number of Directors'].max()}'\n
The TV Show with Lowest Number of Directors on 'Disney+' is '{disney_directors_least_tvshows['Title'][0]}' : '{disney_directors_least_tvshows['Number of Directors'].min()}'\n
''')
The TV Show with Highest Number of Directors Ever Got is 'Stretch Armstrong: The Breakout' : '5'
The TV Show with Lowest Number of Directors Ever Got is 'A Wednesday!' : '1'
The TV Show with Highest Number of Directors on 'Netflix' is 'Stretch Armstrong: The Breakout' : '5'
The TV Show with Lowest Number of Directors on 'Netflix' is 'A Wednesday!' : '1'
The TV Show with Highest Number of Directors on 'Hulu' is 'Andy Explores' : '4'
The TV Show with Lowest Number of Directors on 'Hulu' is 'Food Wars! Shokugeki no Soma' : '1'
The TV Show with Highest Number of Directors on 'Prime Video' is 'Kokkoku, Moment by Moment' : '3'
The TV Show with Lowest Number of Directors on 'Prime Video' is 'Checkmate' : '1'
The TV Show with Highest Number of Directors on 'Disney+' is 'Ice Age: The Great Egg-Scapade' : '4'
The TV Show with Lowest Number of Directors on 'Disney+' is 'Invincible' : '1'
print(f'''
Accross All Platforms the Average Number of Directors is '{round(df_tvshows_count_directors['Number of Directors'].mean(), ndigits = 2)}'\n
The Average Number of Directors on 'Netflix' is '{round(netflix_directors_tvshows['Number of Directors'].mean(), ndigits = 2)}'\n
The Average Number of Directors on 'Hulu' is '{round(hulu_directors_tvshows['Number of Directors'].mean(), ndigits = 2)}'\n
The Average Number of Directors on 'Prime Video' is '{round(prime_video_directors_tvshows['Number of Directors'].mean(), ndigits = 2)}'\n
The Average Number of Directors on 'Disney+' is '{round(disney_directors_tvshows['Number of Directors'].mean(), ndigits = 2)}'\n
''')
Accross All Platforms the Average Number of Directors is '1.16'
The Average Number of Directors on 'Netflix' is '1.3'
The Average Number of Directors on 'Hulu' is '1.17'
The Average Number of Directors on 'Prime Video' is '1.1'
The Average Number of Directors on 'Disney+' is '1.3'
print(f'''
Accross All Platforms Total Count of Director is '{df_tvshows_count_directors['Number of Directors'].max()}'\n
Total Count of Director on 'Netflix' is '{netflix_directors_tvshows['Number of Directors'].max()}'\n
Total Count of Director on 'Hulu' is '{hulu_directors_tvshows['Number of Directors'].max()}'\n
Total Count of Director on 'Prime Video' is '{prime_video_directors_tvshows['Number of Directors'].max()}'\n
Total Count of Director on 'Disney+' is '{disney_directors_tvshows['Number of Directors'].max()}'\n
''')
Accross All Platforms Total Count of Director is '5'
Total Count of Director on 'Netflix' is '5'
Total Count of Director on 'Hulu' is '4'
Total Count of Director on 'Prime Video' is '3'
Total Count of Director on 'Disney+' is '4'
f, ax = plt.subplots(1, 2 , figsize = (20, 5))
sns.distplot(df_tvshows_count_directors['Number of Directors'],bins = 20, kde = True, ax = ax[0])
sns.boxplot(df_tvshows_count_directors['Number of Directors'], ax = ax[1])
plt.show()
# Defining plot size and title
plt.figure(figsize = (20, 5))
plt.title('Number of Directors s Per Platform')
# Plotting the information from each dataset into a histogram
sns.histplot(prime_video_directors_tvshows['Number of Directors'], color = 'lightblue', legend = True, kde = True)
sns.histplot(netflix_directors_tvshows['Number of Directors'], color = 'red', legend = True, kde = True)
sns.histplot(hulu_directors_tvshows['Number of Directors'], color = 'lightgreen', legend = True, kde = True)
sns.histplot(disney_directors_tvshows['Number of Directors'], color = 'darkblue', legend = True, kde = True)
# Setting the legend
plt.legend(['Prime Video', 'Netflix', 'Hulu', 'Disney+'])
plt.show()
df_lan = df_tvshows_director['Directors'].str.split(',').apply(pd.Series).stack()
del df_tvshows_director['Directors']
df_lan.index = df_lan.index.droplevel(-1)
df_lan.name = 'Director'
df_tvshows_director = df_tvshows_director.join(df_lan)
df_tvshows_director.drop_duplicates(inplace = True)
df_tvshows_director.head(5)
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Cast | Genres | Country | Language | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Director | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6 | 7 | A Wednesday! | 2008 | NR | 8.1 | NA | NA | Comedy,Family,Fantasy,Horror | United States | English | ... | 104 | tv series | 1 | 1 | 0 | 0 | 0 | 1 | Netflix | Neeraj Pandey |
| 9 | 10 | Rainbow | 2015 | NR | 7 | 0 | Geoffrey Hayes,Roy Skelton,Stanley Bates,Rod B... | Animation,Family | United Kingdom | English | ... | 22 | tv series | 20 | 1 | 0 | 0 | 0 | 1 | Netflix | Nagesh Kukunoor |
| 11 | 12 | Wakefield | 2017 | 18 | 8.1 | 72 | Rudi Dharmalingam,Mandy McElhinney,Geraldine H... | Mystery | Australia | English | ... | 106 | tv series | 1 | 1 | 0 | 0 | 0 | 1 | Netflix | Robin Swicord |
| 12 | 13 | Alive and Kicking | 2017 | NR | 6.2 | 83 | Álvaro Requena,Marco Sanz,Sara Manzano,Aitor V... | Adventure,Drama,Family | Spain | Spanish | ... | 94 | tv series | 1 | 1 | 0 | 0 | 0 | 1 | Netflix | Cyril Frankel |
| 17 | 18 | Zero | 2018 | NR | 5.5 | 88 | Giuseppe Dave Seke,Haroun Fall,Beatrice Grannò... | Action,Comedy,Drama,Fantasy,Sci-Fi | Italy | Italian | ... | 164 | tv series | 1 | 1 | 0 | 1 | 0 | 1 | Netflix | Aanand L. Rai |
5 rows × 21 columns
director_count = df_tvshows_director.groupby('Director')['Title'].count()
director_tvshows = df_tvshows_director.groupby('Director')[['Netflix', 'Hulu', 'Prime Video', 'Disney+']].sum()
director_data_tvshows = pd.concat([director_count, director_tvshows], axis = 1).reset_index().rename(columns = {'Title' : 'TV Shows Count'})
director_data_tvshows = director_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False)
# Director with TV Shows Counts - All Platforms Combined
director_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False)[:10]
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 37 | Bob Smeaton | 3 | 0 | 0 | 3 | 0 |
| 47 | Callie T. Wiser | 2 | 0 | 0 | 2 | 0 |
| 169 | Lewis Lovhaug | 2 | 0 | 0 | 1 | 1 |
| 58 | Christopher Menaul | 2 | 1 | 0 | 1 | 0 |
| 88 | Fabien Beziat | 2 | 2 | 0 | 0 | 0 |
| 232 | Rick Morales | 2 | 1 | 0 | 1 | 0 |
| 224 | Randall MacLowry | 2 | 0 | 0 | 2 | 0 |
| 132 | Jeremy Marre | 2 | 0 | 0 | 2 | 0 |
| 113 | Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 181 | Matthew Longfellow | 2 | 0 | 0 | 2 | 0 |
fig = px.bar(x = director_data_tvshows['Director'][:50],
y = director_data_tvshows['TV Shows Count'][:50],
color = director_data_tvshows['TV Shows Count'][:50],
color_continuous_scale = 'Teal_r',
labels = { 'x' : 'Director', 'y' : 'TV Shows Count'},
title = 'Major Directors : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
df_director_high_tvshows = director_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False).reset_index()
df_director_high_tvshows = df_director_high_tvshows.drop(['index'], axis = 1)
# filter = (director_data_tvshows['TV Shows Count'] == (director_data_tvshows['TV Shows Count'].max()))
# df_director_high_tvshows = director_data_tvshows[filter]
# highest_rated_tvshows = director_data_tvshows.loc[director_data_tvshows['TV Shows Count'].idxmax()]
print('\nDirector with Highest Ever TV Shows Count are : All Platforms Combined\n')
df_director_high_tvshows.head(5)
Director with Highest Ever TV Shows Count are : All Platforms Combined
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Bob Smeaton | 3 | 0 | 0 | 3 | 0 |
| 1 | Callie T. Wiser | 2 | 0 | 0 | 2 | 0 |
| 2 | Lewis Lovhaug | 2 | 0 | 0 | 1 | 1 |
| 3 | Christopher Menaul | 2 | 1 | 0 | 1 | 0 |
| 4 | Fabien Beziat | 2 | 2 | 0 | 0 | 0 |
fig = px.bar(y = df_director_high_tvshows['Director'][:15],
x = df_director_high_tvshows['TV Shows Count'][:15],
color = df_director_high_tvshows['TV Shows Count'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'Director', 'x' : 'TV Shows Count'},
title = 'Director with Highest TV Shows : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
df_director_low_tvshows = director_data_tvshows.sort_values(by = 'TV Shows Count', ascending = True).reset_index()
df_director_low_tvshows = df_director_low_tvshows.drop(['index'], axis = 1)
# filter = (director_data_tvshows['TV Shows Count'] == (director_data_tvshows['TV Shows Count'].min()))
# df_director_low_tvshows = director_data_tvshows[filter]
print('\nDirector with Lowest Ever TV Shows Count are : All Platforms Combined\n')
df_director_low_tvshows.head(5)
Director with Lowest Ever TV Shows Count are : All Platforms Combined
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Sol Choi | 1 | 0 | 0 | 0 | 1 |
| 1 | Adolfo Alix Jr. | 1 | 0 | 0 | 1 | 0 |
| 2 | Alan Caldwell | 1 | 1 | 0 | 0 | 0 |
| 3 | Alan Lewens | 1 | 0 | 0 | 1 | 0 |
| 4 | Alastair Layzell | 1 | 0 | 0 | 1 | 0 |
fig = px.bar(y = df_director_low_tvshows['Director'][:15],
x = df_director_low_tvshows['TV Shows Count'][:15],
color = df_director_low_tvshows['TV Shows Count'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'Director', 'x' : 'TV Shows Count'},
title = 'Director with Lowest TV Shows Count : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
print(f'''
Total '{director_data_tvshows['Director'].unique().shape[0]}' unique Director Count s were Given, They were Like this,\n
{director_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False)['Director'].unique()[:5]}\n
The Highest Ever TV Shows Count Ever Any TV Show Got is '{df_director_high_tvshows['Director'][0]}' : '{df_director_high_tvshows['TV Shows Count'].max()}'\n
The Lowest Ever TV Shows Count Ever Any TV Show Got is '{df_director_low_tvshows['Director'][0]}' : '{df_director_low_tvshows['TV Shows Count'].min()}'\n
''')
Total '307' unique Director Count s were Given, They were Like this,
['Bob Smeaton' 'Callie T. Wiser' 'Lewis Lovhaug' 'Christopher Menaul'
'Fabien Beziat']
The Highest Ever TV Shows Count Ever Any TV Show Got is 'Bob Smeaton' : '3'
The Lowest Ever TV Shows Count Ever Any TV Show Got is 'Sol Choi' : '1'
fig = px.pie(director_data_tvshows[:10], names = 'Director', values = 'TV Shows Count', color_discrete_sequence = px.colors.sequential.Teal)
fig.update_traces(textposition = 'inside', textinfo = 'percent+label', title = 'TV Shows Count based on Director')
fig.show()
# netflix_director_tvshows = director_data_tvshows[director_data_tvshows['Netflix'] != 0].sort_values(by = 'Netflix', ascending = False).reset_index()
# netflix_director_tvshows = netflix_director_tvshows.drop(['index', 'Hulu', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
netflix_director_high_tvshows = df_director_high_tvshows.sort_values(by = 'Netflix', ascending = False).reset_index()
netflix_director_high_tvshows = netflix_director_high_tvshows.drop(['index'], axis = 1)
netflix_director_low_tvshows = df_director_high_tvshows.sort_values(by = 'Netflix', ascending = True).reset_index()
netflix_director_low_tvshows = netflix_director_low_tvshows.drop(['index'], axis = 1)
netflix_director_high_tvshows.head(5)
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Fabien Beziat | 2 | 2 | 0 | 0 | 0 |
| 1 | Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 2 | Julien Leclercq | 1 | 1 | 0 | 0 | 0 |
| 3 | Federico Veiroj | 1 | 1 | 0 | 0 | 0 |
| 4 | Nagesh Kukunoor | 1 | 1 | 0 | 0 | 0 |
fig = px.bar(x = netflix_director_high_tvshows['Director'][:15],
y = netflix_director_high_tvshows['Netflix'][:15],
color = netflix_director_high_tvshows['Netflix'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'Director', 'x' : 'TV Shows Count'},
title = 'Director with Highest TV Shows : Netflix')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
# hulu_director_tvshows = director_data_tvshows[director_data_tvshows['Hulu'] != 0].sort_values(by = 'Hulu', ascending = False).reset_index()
# hulu_director_tvshows = hulu_director_tvshows.drop(['index', 'Netflix', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
hulu_director_high_tvshows = df_director_high_tvshows.sort_values(by = 'Hulu', ascending = False).reset_index()
hulu_director_high_tvshows = hulu_director_high_tvshows.drop(['index'], axis = 1)
hulu_director_low_tvshows = df_director_high_tvshows.sort_values(by = 'Hulu', ascending = True).reset_index()
hulu_director_low_tvshows = hulu_director_low_tvshows.drop(['index'], axis = 1)
hulu_director_high_tvshows.head(5)
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Zenith DeGregorio | 1 | 0 | 1 | 0 | 0 |
| 1 | Brian K. Roberts | 1 | 0 | 1 | 0 | 0 |
| 2 | Grey Lockwood | 1 | 0 | 1 | 0 | 0 |
| 3 | Charles S. Dubin | 1 | 0 | 1 | 0 | 0 |
| 4 | Shane Dawson | 1 | 0 | 1 | 1 | 0 |
fig = px.bar(x = hulu_director_high_tvshows['Director'][:15],
y = hulu_director_high_tvshows['Hulu'][:15],
color = hulu_director_high_tvshows['Hulu'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'Director', 'x' : 'TV Shows Count'},
title = 'Director with Highest TV Shows : Hulu')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
# prime_video_director_tvshows = director_data_tvshows[director_data_tvshows['Prime Video'] != 0].sort_values(by = 'Prime Video', ascending = False).reset_index()
# prime_video_director_tvshows = prime_video_director_tvshows.drop(['index', 'Netflix', 'Hulu', 'Disney+', 'TV Shows Count'], axis = 1)
prime_video_director_high_tvshows = df_director_high_tvshows.sort_values(by = 'Prime Video', ascending = False).reset_index()
prime_video_director_high_tvshows = prime_video_director_high_tvshows.drop(['index'], axis = 1)
prime_video_director_low_tvshows = df_director_high_tvshows.sort_values(by = 'Prime Video', ascending = True).reset_index()
prime_video_director_low_tvshows = prime_video_director_low_tvshows.drop(['index'], axis = 1)
prime_video_director_high_tvshows.head(5)
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Bob Smeaton | 3 | 0 | 0 | 3 | 0 |
| 1 | Randall MacLowry | 2 | 0 | 0 | 2 | 0 |
| 2 | Jeremy Marre | 2 | 0 | 0 | 2 | 0 |
| 3 | Matthew Longfellow | 2 | 0 | 0 | 2 | 0 |
| 4 | Callie T. Wiser | 2 | 0 | 0 | 2 | 0 |
fig = px.bar(x = prime_video_director_high_tvshows['Director'][:15],
y = prime_video_director_high_tvshows['Prime Video'][:15],
color = prime_video_director_high_tvshows['Prime Video'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'Director', 'x' : 'TV Shows Count'},
title = 'Director with Highest TV Shows : Prime Video')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
# disney_director_tvshows = director_data_tvshows[director_data_tvshows['Disney+'] != 0].sort_values(by = 'Disney+', ascending = False).reset_index()
# disney_director_tvshows = disney_director_tvshows.drop(['index', 'Netflix', 'Hulu', 'Prime Video', 'TV Shows Count'], axis = 1)
disney_director_high_tvshows = df_director_high_tvshows.sort_values(by = 'Disney+', ascending = False).reset_index()
disney_director_high_tvshows = disney_director_high_tvshows.drop(['index'], axis = 1)
disney_director_low_tvshows = df_director_high_tvshows.sort_values(by = 'Disney+', ascending = True).reset_index()
disney_director_low_tvshows = disney_director_low_tvshows.drop(['index'], axis = 1)
disney_director_high_tvshows.head(5)
| Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Robert Stevenson | 1 | 0 | 0 | 0 | 1 |
| 1 | Wilfred Jackson | 1 | 0 | 0 | 0 | 1 |
| 2 | Steve Martino | 1 | 0 | 0 | 0 | 1 |
| 3 | Sotiris Tsafoulias | 1 | 0 | 0 | 0 | 1 |
| 4 | Sue Perrotto | 1 | 0 | 0 | 0 | 1 |
fig = px.bar(x = disney_director_high_tvshows['Director'][:15],
y = disney_director_high_tvshows['Disney+'][:15],
color = disney_director_high_tvshows['Disney+'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'Director', 'x' : 'TV Shows Count'},
title = 'Director with Highest TV Shows : Disney+')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
f, ax = plt.subplots(1, 2 , figsize = (20, 5))
sns.distplot(director_data_tvshows['TV Shows Count'], bins = 20, kde = True, ax = ax[0])
sns.boxplot(director_data_tvshows['TV Shows Count'], ax = ax[1])
plt.show()
# Creating distinct dataframes only with the tvshows present on individual streaming platforms
netflix_director_tvshows = director_data_tvshows[director_data_tvshows['Netflix'] != 0].sort_values(by = 'Netflix', ascending = False).reset_index()
netflix_director_tvshows = netflix_director_tvshows.drop(['index', 'Hulu', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
hulu_director_tvshows = director_data_tvshows[director_data_tvshows['Hulu'] != 0].sort_values(by = 'Hulu', ascending = False).reset_index()
hulu_director_tvshows = hulu_director_tvshows.drop(['index', 'Netflix', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
prime_video_director_tvshows = director_data_tvshows[director_data_tvshows['Prime Video'] != 0].sort_values(by = 'Prime Video', ascending = False).reset_index()
prime_video_director_tvshows = prime_video_director_tvshows.drop(['index', 'Netflix', 'Hulu', 'Disney+', 'TV Shows Count'], axis = 1)
disney_director_tvshows = director_data_tvshows[director_data_tvshows['Disney+'] != 0].sort_values(by = 'Disney+', ascending = False).reset_index()
disney_director_tvshows = disney_director_tvshows.drop(['index', 'Netflix', 'Hulu', 'Prime Video', 'TV Shows Count'], axis = 1)
# Defining plot size and title
plt.figure(figsize = (20, 5))
plt.title('Director TV Shows Count Per Platform')
# Plotting the information from each dataset into a histogram
sns.histplot(disney_director_tvshows['Disney+'][:50], color = 'darkblue', legend = True, kde = True)
sns.histplot(prime_video_director_tvshows['Prime Video'][:50], color = 'lightblue', legend = True, kde = True)
sns.histplot(netflix_director_tvshows['Netflix'][:50], color = 'red', legend = True, kde = True)
sns.histplot(hulu_director_tvshows['Hulu'][:50], color = 'lightgreen', legend = True, kde = True)
# Setting the legend
plt.legend(['Disney+', 'Prime Video', 'Netflix', 'Hulu'])
plt.show()
print(f'''
The Director with Highest TV Shows Count Ever Got is '{df_director_high_tvshows['Director'][0]}' : '{df_director_high_tvshows['TV Shows Count'].max()}'\n
The Director with Lowest TV Shows Count Ever Got is '{df_director_low_tvshows['Director'][0]}' : '{df_director_low_tvshows['TV Shows Count'].min()}'\n
The Director with Highest TV Shows Count on 'Netflix' is '{netflix_director_high_tvshows['Director'][0]}' : '{netflix_director_high_tvshows['Netflix'].max()}'\n
The Director with Lowest TV Shows Count on 'Netflix' is '{netflix_director_low_tvshows['Director'][0]}' : '{netflix_director_low_tvshows['Netflix'].min()}'\n
The Director with Highest TV Shows Count on 'Hulu' is '{hulu_director_high_tvshows['Director'][0]}' : '{hulu_director_high_tvshows['Hulu'].max()}'\n
The Director with Lowest TV Shows Count on 'Hulu' is '{hulu_director_low_tvshows['Director'][0]}' : '{hulu_director_low_tvshows['Hulu'].min()}'\n
The Director with Highest TV Shows Count on 'Prime Video' is '{prime_video_director_high_tvshows['Director'][0]}' : '{prime_video_director_high_tvshows['Prime Video'].max()}'\n
The Director with Lowest TV Shows Count on 'Prime Video' is '{prime_video_director_low_tvshows['Director'][0]}' : '{prime_video_director_low_tvshows['Prime Video'].min()}'\n
The Director with Highest TV Shows Count on 'Disney+' is '{disney_director_high_tvshows['Director'][0]}' : '{disney_director_high_tvshows['Disney+'].max()}'\n
The Director with Lowest TV Shows Count on 'Disney+' is '{disney_director_low_tvshows['Director'][0]}' : '{disney_director_low_tvshows['Disney+'].min()}'\n
''')
The Director with Highest TV Shows Count Ever Got is 'Bob Smeaton' : '3'
The Director with Lowest TV Shows Count Ever Got is 'Sol Choi' : '1'
The Director with Highest TV Shows Count on 'Netflix' is 'Fabien Beziat' : '2'
The Director with Lowest TV Shows Count on 'Netflix' is 'Bob Smeaton' : '0'
The Director with Highest TV Shows Count on 'Hulu' is 'Zenith DeGregorio' : '1'
The Director with Lowest TV Shows Count on 'Hulu' is 'Bob Smeaton' : '0'
The Director with Highest TV Shows Count on 'Prime Video' is 'Bob Smeaton' : '3'
The Director with Lowest TV Shows Count on 'Prime Video' is 'Julien Leclercq' : '0'
The Director with Highest TV Shows Count on 'Disney+' is 'Robert Stevenson' : '1'
The Director with Lowest TV Shows Count on 'Disney+' is 'Bob Smeaton' : '0'
# Distribution of tvshows director in each platform
plt.figure(figsize = (20, 5))
plt.title('Director with TV Shows Count for All Platforms')
sns.violinplot(x = director_data_tvshows['TV Shows Count'][:100], color = 'gold', legend = True, kde = True, shade = False)
plt.show()
# Distribution of Director TV Shows Count in each platform
f1, ax1 = plt.subplots(1, 2 , figsize = (20, 5))
sns.violinplot(x = netflix_director_tvshows['Netflix'][:100], color = 'red', ax = ax1[0])
sns.violinplot(x = hulu_director_tvshows['Hulu'][:100], color = 'lightgreen', ax = ax1[1])
f2, ax2 = plt.subplots(1, 2 , figsize = (20, 5))
sns.violinplot(x = prime_video_director_tvshows['Prime Video'][:100], color = 'lightblue', ax = ax2[0])
sns.violinplot(x = disney_director_tvshows['Disney+'][:100], color = 'darkblue', ax = ax2[1])
plt.show()
print(f'''
Accross All Platforms the Average TV Shows Count of Director is '{round(director_data_tvshows['TV Shows Count'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Director on 'Netflix' is '{round(netflix_director_tvshows['Netflix'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Director on 'Hulu' is '{round(hulu_director_tvshows['Hulu'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Director on 'Prime Video' is '{round(prime_video_director_tvshows['Prime Video'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Director on 'Disney+' is '{round(disney_director_tvshows['Disney+'].mean(), ndigits = 2)}'\n
''')
Accross All Platforms the Average TV Shows Count of Director is '1.04'
The Average TV Shows Count of Director on 'Netflix' is '1.03'
The Average TV Shows Count of Director on 'Hulu' is '1.0'
The Average TV Shows Count of Director on 'Prime Video' is '1.03'
The Average TV Shows Count of Director on 'Disney+' is '1.0'
print(f'''
Accross All Platforms Total Count of Director is '{director_data_tvshows['Director'].unique().shape[0]}'\n
Total Count of Director on 'Netflix' is '{netflix_director_tvshows['Director'].unique().shape[0]}'\n
Total Count of Director on 'Hulu' is '{hulu_director_tvshows['Director'].unique().shape[0]}'\n
Total Count of Director on 'Prime Video' is '{prime_video_director_tvshows['Director'].unique().shape[0]}'\n
Total Count of Director on 'Disney+' is '{disney_director_tvshows['Director'].unique().shape[0]}'\n
''')
Accross All Platforms Total Count of Director is '307'
Total Count of Director on 'Netflix' is '70'
Total Count of Director on 'Hulu' is '28'
Total Count of Director on 'Prime Video' is '196'
Total Count of Director on 'Disney+' is '26'
plt.figure(figsize = (20, 5))
sns.lineplot(x = director_data_tvshows['Director'][:10], y = director_data_tvshows['Netflix'][:10], color = 'red')
sns.lineplot(x = director_data_tvshows['Director'][:10], y = director_data_tvshows['Hulu'][:10], color = 'lightgreen')
sns.lineplot(x = director_data_tvshows['Director'][:10], y = director_data_tvshows['Prime Video'][:10], color = 'lightblue')
sns.lineplot(x = director_data_tvshows['Director'][:10], y = director_data_tvshows['Disney+'][:10], color = 'darkblue')
plt.xlabel('Director', fontsize = 20)
plt.ylabel('TV Shows Count', fontsize = 20)
plt.show()
fig, axes = plt.subplots(2, 2, figsize = (20 , 10))
n_d_ax1 = sns.lineplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Netflix'][:10], color = 'red', ax = axes[0, 0])
h_d_ax2 = sns.lineplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Hulu'][:10], color = 'lightgreen', ax = axes[0, 1])
p_d_ax3 = sns.lineplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Prime Video'][:10], color = 'lightblue', ax = axes[1, 0])
d_d_ax4 = sns.lineplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Disney+'][:10], color = 'darkblue', ax = axes[1, 1])
labels = ['Netflix', 'Hulu', 'Prime Video', 'Disney+']
n_d_ax1.title.set_text(labels[0])
h_d_ax2.title.set_text(labels[1])
p_d_ax3.title.set_text(labels[2])
d_d_ax4.title.set_text(labels[3])
plt.show()
fig, axes = plt.subplots(2, 2, figsize = (20 , 20))
n_d_ax1 = sns.barplot(y = netflix_director_tvshows['Director'][:10], x = netflix_director_tvshows['Netflix'][:10], palette = 'Reds_r', ax = axes[0, 0])
h_d_ax2 = sns.barplot(y = hulu_director_tvshows['Director'][:10], x = hulu_director_tvshows['Hulu'][:10], palette = 'Greens_r', ax = axes[0, 1])
p_d_ax3 = sns.barplot(y = prime_video_director_tvshows['Director'][:10], x = prime_video_director_tvshows['Prime Video'][:10], palette = 'Blues_r', ax = axes[1, 0])
d_d_ax4 = sns.barplot(y = disney_director_tvshows['Director'][:10], x = disney_director_tvshows['Disney+'][:10], palette = 'BuPu_r', ax = axes[1, 1])
labels = ['Netflix', 'Hulu', 'Prime Video', 'Disney+']
n_d_ax1.title.set_text(labels[0])
h_d_ax2.title.set_text(labels[1])
p_d_ax3.title.set_text(labels[2])
d_d_ax4.title.set_text(labels[3])
plt.show()
# Defining plot size and title
plt.figure(figsize = (20, 5))
plt.title('Director TV Shows Count Per Platform')
# Plotting the information from each dataset into a histogram
sns.kdeplot(netflix_director_tvshows['Netflix'][:10], color = 'red', legend = True)
sns.kdeplot(hulu_director_tvshows['Hulu'][:10], color = 'green', legend = True)
sns.kdeplot(prime_video_director_tvshows['Prime Video'][:10], color = 'lightblue', legend = True)
sns.kdeplot(disney_director_tvshows['Disney+'][:10], color = 'darkblue', legend = True)
# Setting the legend
plt.legend(['Netflix', 'Hulu', 'Prime Video', 'Disney+'])
plt.show()
fig, axes = plt.subplots(2, 2, figsize = (20 , 20))
n_d_ax1 = sns.barplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Netflix'][:10], palette = 'Reds_r', ax = axes[0, 0])
h_d_ax2 = sns.barplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Hulu'][:10], palette = 'Greens_r', ax = axes[0, 1])
p_d_ax3 = sns.barplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Prime Video'][:10], palette = 'Blues_r', ax = axes[1, 0])
d_d_ax4 = sns.barplot(y = director_data_tvshows['Director'][:10], x = director_data_tvshows['Disney+'][:10], palette = 'BuPu_r', ax = axes[1, 1])
labels = ['Netflix', 'Hulu', 'Prime Video', 'Disney+']
n_d_ax1.title.set_text(labels[0])
h_d_ax2.title.set_text(labels[1])
p_d_ax3.title.set_text(labels[2])
d_d_ax4.title.set_text(labels[3])
plt.show()
df_tvshows_mixed_directors.drop(df_tvshows_mixed_directors.loc[df_tvshows_mixed_directors['Directors'] == "NA"].index, inplace = True)
# df_tvshows_mixed_directors = df_tvshows_mixed_directors[df_tvshows_mixed_directors.Director != "NA"]
df_tvshows_mixed_directors.drop(df_tvshows_mixed_directors.loc[df_tvshows_mixed_directors['Number of Directors'] == 1].index, inplace = True)
df_tvshows_mixed_directors.head(5)
| ID | Title | Year | Age | IMDb | Rotten Tomatoes | Directors | Cast | Genres | Country | ... | Runtime | Kind | Seasons | Netflix | Hulu | Prime Video | Disney+ | Type | Service Provider | Number of Directors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 26 | K. D. | 2019 | NR | 8.6 | 87 | Rajesh Ranshinge,Prabal Baruah,Suleman Quadri,... | Maya Alagh,Nayan Bhatt,Manav Gohil,Darshan Jar... | Crime,Drama,Mystery,Thriller | NA | ... | 45 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 4 |
| 43 | 44 | Beak & Brain | 2013 | NR | 7.9 | NA | Volker Arzt,Angelika Sigl | Hans-Peter Bögel,Alice Auersperg,Gyula Gajdon,... | Documentary | Germany | ... | NA | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 2 |
| 53 | 54 | Stretch Armstrong: The Breakout | 2018 | NR | 6.6 | NA | Victor Cook,Kevin Altieri,Alan Caldwell,Victor... | Ogie Banks,Clancy Brown,Yvette Nicole Brown,Ga... | Animation,Short,Action,Adventure,Comedy,Sci-Fi | NA | ... | NA | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 5 |
| 64 | 65 | All About Asado | 2016 | NR | 6.6 | NA | Tony Bueno,Emily Pattison | Abby Harrison | Talk-Show | United States | ... | 89 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 2 |
| 77 | 78 | Elles étaient en guerre (1914 - 1918) | 2014 | NR | 7.9 | NA | Fabien Beziat,Hugues Nancy | Nathalie Baye,Edith Wharton,Louise Bodin,Emmel... | Documentary,History | France | ... | 95 | tv series | NA | 1 | 0 | 0 | 0 | 1 | Netflix | 2 |
5 rows × 22 columns
mixed_directors_count = df_tvshows_mixed_directors.groupby('Directors')['Title'].count()
mixed_directors_tvshows = df_tvshows_mixed_directors.groupby('Directors')[['Netflix', 'Hulu', 'Prime Video', 'Disney+']].sum()
mixed_directors_data_tvshows = pd.concat([mixed_directors_count, mixed_directors_tvshows], axis = 1).reset_index().rename(columns = {'Title' : 'TV Shows Count', 'Directors' : 'Mixed Director'})
mixed_directors_data_tvshows = mixed_directors_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False)
mixed_directors_data_tvshows.head(5)
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 5 | Fabien Beziat,Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 0 | Aaron Basch,Trevor Morris,Chris Olivas,Peter S... | 1 | 0 | 1 | 0 | 0 |
| 16 | Paul Stodolny,Ricardo Curtis,Steve Martino,Mik... | 1 | 0 | 0 | 0 | 1 |
| 29 | Volker Arzt,Angelika Sigl | 1 | 1 | 0 | 0 | 0 |
| 28 | Victor Cook,Kevin Altieri,Alan Caldwell,Victor... | 1 | 1 | 0 | 0 | 0 |
# Mixed Director with TV Shows Counts - All Platforms Combined
mixed_directors_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False)[:10]
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 5 | Fabien Beziat,Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 15 | Nikolay Kozlov,Aleksandr Lyutkevich | 1 | 1 | 0 | 0 | 0 |
| 2 | Bruno Mattei,Claudio Fragasso | 1 | 0 | 0 | 1 | 0 |
| 3 | Daniel Zuckerbrot,Donna Zuckerbrot | 1 | 0 | 0 | 1 | 0 |
| 4 | David Belton,Andy Byatt | 1 | 0 | 0 | 1 | 0 |
| 6 | Francesco Manfio,Sergio Manfio | 1 | 0 | 0 | 1 | 0 |
| 7 | Gary Howsam,Mike Smith,John Paul Tremblay,Robb... | 1 | 1 | 0 | 0 | 0 |
| 8 | Jamie Badminton,Rufus Blacklock | 1 | 0 | 0 | 1 | 0 |
| 9 | Josh Wakely,Pablo De La Torre | 1 | 1 | 0 | 0 | 0 |
| 10 | José Luis Gutiérrez Rojas,Leopoldo Gutiérrez | 1 | 0 | 0 | 1 | 0 |
df_mixed_directors_high_tvshows = mixed_directors_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False).reset_index()
df_mixed_directors_high_tvshows = df_mixed_directors_high_tvshows.drop(['index'], axis = 1)
# filter = (mixed_directors_data_tvshows['TV Shows Count'] = = (mixed_directors_data_tvshows['TV Shows Count'].max()))
# df_mixed_directors_high_tvshows = mixed_directors_data_tvshows[filter]
# highest_rated_tvshows = mixed_directors_data_tvshows.loc[mixed_directors_data_tvshows['TV Shows Count'].idxmax()]
print('\nMixed Director with Highest Ever TV Shows Count are : All Platforms Combined\n')
df_mixed_directors_high_tvshows.head(5)
Mixed Director with Highest Ever TV Shows Count are : All Platforms Combined
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Fabien Beziat,Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 1 | Nikolay Kozlov,Aleksandr Lyutkevich | 1 | 1 | 0 | 0 | 0 |
| 2 | Bruno Mattei,Claudio Fragasso | 1 | 0 | 0 | 1 | 0 |
| 3 | Daniel Zuckerbrot,Donna Zuckerbrot | 1 | 0 | 0 | 1 | 0 |
| 4 | David Belton,Andy Byatt | 1 | 0 | 0 | 1 | 0 |
fig = px.bar(y = df_mixed_directors_high_tvshows['Mixed Director'][:15],
x = df_mixed_directors_high_tvshows['TV Shows Count'][:15],
color = df_mixed_directors_high_tvshows['TV Shows Count'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Mixed Director'},
title = 'TV Shows with Highest Number of Mixed Directors : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
df_mixed_directors_low_tvshows = mixed_directors_data_tvshows.sort_values(by = 'TV Shows Count', ascending = True).reset_index()
df_mixed_directors_low_tvshows = df_mixed_directors_low_tvshows.drop(['index'], axis = 1)
# filter = (mixed_directors_data_tvshows['TV Shows Count'] = = (mixed_directors_data_tvshows['TV Shows Count'].min()))
# df_mixed_directors_low_tvshows = mixed_directors_data_tvshows[filter]
print('\nMixed Director with Lowest Ever TV Shows Count are : All Platforms Combined\n')
df_mixed_directors_low_tvshows.head(5)
Mixed Director with Lowest Ever TV Shows Count are : All Platforms Combined
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Rajesh Ranshinge,Prabal Baruah,Suleman Quadri,... | 1 | 1 | 0 | 0 | 0 |
| 1 | Daniel Zuckerbrot,Donna Zuckerbrot | 1 | 0 | 0 | 1 | 0 |
| 2 | David Belton,Andy Byatt | 1 | 0 | 0 | 1 | 0 |
| 3 | Francesco Manfio,Sergio Manfio | 1 | 0 | 0 | 1 | 0 |
| 4 | Gary Howsam,Mike Smith,John Paul Tremblay,Robb... | 1 | 1 | 0 | 0 | 0 |
fig = px.bar(y = df_mixed_directors_low_tvshows['Mixed Director'][:15],
x = df_mixed_directors_low_tvshows['TV Shows Count'][:15],
color = df_mixed_directors_low_tvshows['TV Shows Count'][:15],
color_continuous_scale = 'Teal_r',
labels = { 'y' : 'TV Shows', 'x' : 'Number of Mixed Director'},
title = 'TV Shows with Lowest Number of Mixed Directors : All Platforms')
fig.update_layout(plot_bgcolor = 'white')
fig.show()
print(f'''
Total '{df_tvshows_directors['Directors'].count()}' Titles are available on All Platforms, out of which\n
You Can Choose to see TV Shows from Total '{mixed_directors_data_tvshows['Mixed Director'].unique().shape[0]}' Mixed Director, They were Like this, \n
{mixed_directors_data_tvshows.sort_values(by = 'TV Shows Count', ascending = False)['Mixed Director'].head(5).unique()} etc. \n
The Mixed Director with Highest TV Shows Count have '{mixed_directors_data_tvshows['TV Shows Count'].max()}' TV Shows Available is '{df_mixed_directors_high_tvshows['Mixed Director'][0]}', &\n
The Mixed Director with Lowest TV Shows Count have '{mixed_directors_data_tvshows['TV Shows Count'].min()}' TV Shows Available is '{df_mixed_directors_low_tvshows['Mixed Director'][0]}'
''')
Total '274' Titles are available on All Platforms, out of which
You Can Choose to see TV Shows from Total '31' Mixed Director, They were Like this,
['Fabien Beziat,Hugues Nancy' 'Nikolay Kozlov,Aleksandr Lyutkevich'
'Bruno Mattei,Claudio Fragasso' 'Daniel Zuckerbrot,Donna Zuckerbrot'
'David Belton,Andy Byatt'] etc.
The Mixed Director with Highest TV Shows Count have '2' TV Shows Available is 'Fabien Beziat,Hugues Nancy', &
The Mixed Director with Lowest TV Shows Count have '1' TV Shows Available is 'Rajesh Ranshinge,Prabal Baruah,Suleman Quadri,Udayan Pradeep Shukla'
fig = px.pie(mixed_directors_data_tvshows[:4], names = 'Mixed Director', values = 'TV Shows Count', color_discrete_sequence = px.colors.sequential.Teal)
fig.update_traces(textposition = 'inside', textinfo = 'percent+label', title = 'TV Shows Count based on Mixed Director')
fig.show()
# netflix_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Netflix'] != 0].sort_values(by = 'Netflix', ascending = False).reset_index()
# netflix_mixed_directors_tvshows = netflix_mixed_directors_tvshows.drop(['index', 'Hulu', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
netflix_mixed_directors_high_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Netflix', ascending = False).reset_index()
netflix_mixed_directors_high_tvshows = netflix_mixed_directors_high_tvshows.drop(['index'], axis = 1)
netflix_mixed_directors_low_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Netflix', ascending = True).reset_index()
netflix_mixed_directors_low_tvshows = netflix_mixed_directors_low_tvshows.drop(['index'], axis = 1)
netflix_mixed_directors_high_tvshows.head(5)
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Fabien Beziat,Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 1 | Josh Wakely,Pablo De La Torre | 1 | 1 | 0 | 0 | 0 |
| 2 | Volker Arzt,Angelika Sigl | 1 | 1 | 0 | 0 | 0 |
| 3 | Victor Cook,Kevin Altieri,Alan Caldwell,Victor... | 1 | 1 | 0 | 0 | 0 |
| 4 | Tony Bueno,Emily Pattison | 1 | 1 | 0 | 0 | 0 |
# hulu_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Hulu'] != 0].sort_values(by = 'Hulu', ascending = False).reset_index()
# hulu_mixed_directors_tvshows = hulu_mixed_directors_tvshows.drop(['index', 'Netflix', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
hulu_mixed_directors_high_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Hulu', ascending = False).reset_index()
hulu_mixed_directors_high_tvshows = hulu_mixed_directors_high_tvshows.drop(['index'], axis = 1)
hulu_mixed_directors_low_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Hulu', ascending = True).reset_index()
hulu_mixed_directors_low_tvshows = hulu_mixed_directors_low_tvshows.drop(['index'], axis = 1)
hulu_mixed_directors_high_tvshows.head(5)
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Aaron Basch,Trevor Morris,Chris Olivas,Peter S... | 1 | 0 | 1 | 0 | 0 |
| 1 | Nelson Boles,Raymie Muzquiz | 1 | 0 | 1 | 0 | 0 |
| 2 | Fabien Beziat,Hugues Nancy | 2 | 2 | 0 | 0 | 0 |
| 3 | Paul Stodolny,Ricardo Curtis,Steve Martino,Mik... | 1 | 0 | 0 | 0 | 1 |
| 4 | Volker Arzt,Angelika Sigl | 1 | 1 | 0 | 0 | 0 |
# prime_video_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Prime Video'] != 0].sort_values(by = 'Prime Video', ascending = False).reset_index()
# prime_video_mixed_directors_tvshows = prime_video_mixed_directors_tvshows.drop(['index', 'Netflix', 'Hulu', 'Disney+', 'TV Shows Count'], axis = 1)
prime_video_mixed_directors_high_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Prime Video', ascending = False).reset_index()
prime_video_mixed_directors_high_tvshows = prime_video_mixed_directors_high_tvshows.drop(['index'], axis = 1)
prime_video_mixed_directors_low_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Prime Video', ascending = True).reset_index()
prime_video_mixed_directors_low_tvshows = prime_video_mixed_directors_low_tvshows.drop(['index'], axis = 1)
prime_video_mixed_directors_high_tvshows.head(5)
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | Kanye West,Alexandre Moors,Elon Rutberg | 1 | 0 | 0 | 1 | 0 |
| 1 | Steve Sekely,Freddie Francis | 1 | 0 | 0 | 1 | 0 |
| 2 | Takahiro Kawakoshi,Yoji Minaharu,Yoshimitsu Ôh... | 1 | 0 | 0 | 1 | 0 |
| 3 | Rick Morales,Viren Patil | 1 | 0 | 0 | 1 | 0 |
| 4 | Terry Izumi,Karl Toerge | 1 | 0 | 0 | 1 | 0 |
# disney_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Disney+'] != 0].sort_values(by = 'Disney+', ascending = False).reset_index()
# disney_mixed_directors_tvshows = disney_mixed_directors_tvshows.drop(['index', 'Netflix', 'Hulu', 'Prime Video', 'TV Shows Count'], axis = 1)
disney_mixed_directors_high_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Disney+', ascending = False).reset_index()
disney_mixed_directors_high_tvshows = disney_mixed_directors_high_tvshows.drop(['index'], axis = 1)
disney_mixed_directors_low_tvshows = df_mixed_directors_high_tvshows.sort_values(by = 'Disney+', ascending = True).reset_index()
disney_mixed_directors_low_tvshows = disney_mixed_directors_low_tvshows.drop(['index'], axis = 1)
disney_mixed_directors_high_tvshows.head(5)
| Mixed Director | TV Shows Count | Netflix | Hulu | Prime Video | Disney+ | |
|---|---|---|---|---|---|---|
| 0 | William Beaudine,Wilfred Jackson | 1 | 0 | 0 | 0 | 1 |
| 1 | Paul Stodolny,Ricardo Curtis,Steve Martino,Mik... | 1 | 0 | 0 | 0 | 1 |
| 2 | Sol Choi,Alfred Gimeno | 1 | 0 | 0 | 0 | 1 |
| 3 | Robert Hughes,Sue Perrotto | 1 | 0 | 0 | 0 | 1 |
| 4 | Aaron Basch,Trevor Morris,Chris Olivas,Peter S... | 1 | 0 | 1 | 0 | 0 |
f, ax = plt.subplots(1, 2 , figsize = (20, 5))
sns.distplot(mixed_directors_data_tvshows['TV Shows Count'], bins = 20, kde = True, ax = ax[0])
sns.boxplot(mixed_directors_data_tvshows['TV Shows Count'], ax = ax[1])
plt.show()
# Creating distinct dataframes only with the tvshows present on individual streaming platforms
netflix_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Netflix'] != 0].sort_values(by = 'Netflix', ascending = False).reset_index()
netflix_mixed_directors_tvshows = netflix_mixed_directors_tvshows.drop(['index', 'Hulu', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
hulu_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Hulu'] != 0].sort_values(by = 'Hulu', ascending = False).reset_index()
hulu_mixed_directors_tvshows = hulu_mixed_directors_tvshows.drop(['index', 'Netflix', 'Prime Video', 'Disney+', 'TV Shows Count'], axis = 1)
prime_video_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Prime Video'] != 0].sort_values(by = 'Prime Video', ascending = False).reset_index()
prime_video_mixed_directors_tvshows = prime_video_mixed_directors_tvshows.drop(['index', 'Netflix', 'Hulu', 'Disney+', 'TV Shows Count'], axis = 1)
disney_mixed_directors_tvshows = mixed_directors_data_tvshows[mixed_directors_data_tvshows['Disney+'] != 0].sort_values(by = 'Disney+', ascending = False).reset_index()
disney_mixed_directors_tvshows = disney_mixed_directors_tvshows.drop(['index', 'Netflix', 'Hulu', 'Prime Video', 'TV Shows Count'], axis = 1)
# Defining plot size and title
plt.figure(figsize = (20, 5))
plt.title('Mixed Director TV Shows Count Per Platform')
# Plotting the information from each dataset into a histogram
sns.histplot(prime_video_mixed_directors_tvshows['Prime Video'][:100], color = 'lightblue', legend = True, kde = True)
sns.histplot(netflix_mixed_directors_tvshows['Netflix'][:100], color = 'red', legend = True, kde = True)
sns.histplot(hulu_mixed_directors_tvshows['Hulu'][:100], color = 'lightgreen', legend = True, kde = True)
sns.histplot(disney_mixed_directors_tvshows['Disney+'][:100], color = 'darkblue', legend = True, kde = True)
# Setting the legend
plt.legend(['Prime Video', 'Netflix', 'Hulu', 'Disney+'])
plt.show()
print(f'''
The Mixed Director with Highest TV Shows Count Ever Got is '{df_mixed_directors_high_tvshows['Mixed Director'][0]}' : '{df_mixed_directors_high_tvshows['TV Shows Count'].max()}'\n
The Mixed Director with Lowest TV Shows Count Ever Got is '{df_mixed_directors_low_tvshows['Mixed Director'][0]}' : '{df_mixed_directors_low_tvshows['TV Shows Count'].min()}'\n
The Mixed Director with Highest TV Shows Count on 'Netflix' is '{netflix_mixed_directors_high_tvshows['Mixed Director'][0]}' : '{netflix_mixed_directors_high_tvshows['Netflix'].max()}'\n
The Mixed Director with Lowest TV Shows Count on 'Netflix' is '{netflix_mixed_directors_low_tvshows['Mixed Director'][0]}' : '{netflix_mixed_directors_low_tvshows['Netflix'].min()}'\n
The Mixed Director with Highest TV Shows Count on 'Hulu' is '{hulu_mixed_directors_high_tvshows['Mixed Director'][0]}' : '{hulu_mixed_directors_high_tvshows['Hulu'].max()}'\n
The Mixed Director with Lowest TV Shows Count on 'Hulu' is '{hulu_mixed_directors_low_tvshows['Mixed Director'][0]}' : '{hulu_mixed_directors_low_tvshows['Hulu'].min()}'\n
The Mixed Director with Highest TV Shows Count on 'Prime Video' is '{prime_video_mixed_directors_high_tvshows['Mixed Director'][0]}' : '{prime_video_mixed_directors_high_tvshows['Prime Video'].max()}'\n
The Mixed Director with Lowest TV Shows Count on 'Prime Video' is '{prime_video_mixed_directors_low_tvshows['Mixed Director'][0]}' : '{prime_video_mixed_directors_low_tvshows['Prime Video'].min()}'\n
The Mixed Director with Highest TV Shows Count on 'Disney+' is '{disney_mixed_directors_high_tvshows['Mixed Director'][0]}' : '{disney_mixed_directors_high_tvshows['Disney+'].max()}'\n
The Mixed Director with Lowest TV Shows Count on 'Disney+' is '{disney_mixed_directors_low_tvshows['Mixed Director'][0]}' : '{disney_mixed_directors_low_tvshows['Disney+'].min()}'\n
''')
The Mixed Director with Highest TV Shows Count Ever Got is 'Fabien Beziat,Hugues Nancy' : '2'
The Mixed Director with Lowest TV Shows Count Ever Got is 'Rajesh Ranshinge,Prabal Baruah,Suleman Quadri,Udayan Pradeep Shukla' : '1'
The Mixed Director with Highest TV Shows Count on 'Netflix' is 'Fabien Beziat,Hugues Nancy' : '2'
The Mixed Director with Lowest TV Shows Count on 'Netflix' is 'William Beaudine,Wilfred Jackson' : '0'
The Mixed Director with Highest TV Shows Count on 'Hulu' is 'Aaron Basch,Trevor Morris,Chris Olivas,Peter Schmid-Schoenbein' : '1'
The Mixed Director with Lowest TV Shows Count on 'Hulu' is 'Fabien Beziat,Hugues Nancy' : '0'
The Mixed Director with Highest TV Shows Count on 'Prime Video' is 'Kanye West,Alexandre Moors,Elon Rutberg' : '1'
The Mixed Director with Lowest TV Shows Count on 'Prime Video' is 'Fabien Beziat,Hugues Nancy' : '0'
The Mixed Director with Highest TV Shows Count on 'Disney+' is 'William Beaudine,Wilfred Jackson' : '1'
The Mixed Director with Lowest TV Shows Count on 'Disney+' is 'Fabien Beziat,Hugues Nancy' : '0'
print(f'''
Accross All Platforms the Average TV Shows Count of Mixed Director is '{round(mixed_directors_data_tvshows['TV Shows Count'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Mixed Director on 'Netflix' is '{round(netflix_mixed_directors_tvshows['Netflix'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Mixed Director on 'Hulu' is '{round(hulu_mixed_directors_tvshows['Hulu'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Mixed Director on 'Prime Video' is '{round(prime_video_mixed_directors_tvshows['Prime Video'].mean(), ndigits = 2)}'\n
The Average TV Shows Count of Mixed Director on 'Disney+' is '{round(disney_mixed_directors_tvshows['Disney+'].mean(), ndigits = 2)}'\n
''')
Accross All Platforms the Average TV Shows Count of Mixed Director is '1.03'
The Average TV Shows Count of Mixed Director on 'Netflix' is '1.11'
The Average TV Shows Count of Mixed Director on 'Hulu' is '1.0'
The Average TV Shows Count of Mixed Director on 'Prime Video' is '1.0'
The Average TV Shows Count of Mixed Director on 'Disney+' is '1.0'
print(f'''
Accross All Platforms Total Count of Mixed Director is '{mixed_directors_data_tvshows['Mixed Director'].unique().shape[0]}'\n
Total Count of Mixed Director on 'Netflix' is '{netflix_mixed_directors_tvshows['Mixed Director'].unique().shape[0]}'\n
Total Count of Mixed Director on 'Hulu' is '{hulu_mixed_directors_tvshows['Mixed Director'].unique().shape[0]}'\n
Total Count of Mixed Director on 'Prime Video' is '{prime_video_mixed_directors_tvshows['Mixed Director'].unique().shape[0]}'\n
Total Count of Mixed Director on 'Disney+' is '{disney_mixed_directors_tvshows['Mixed Director'].unique().shape[0]}'\n
''')
Accross All Platforms Total Count of Mixed Director is '31'
Total Count of Mixed Director on 'Netflix' is '9'
Total Count of Mixed Director on 'Hulu' is '2'
Total Count of Mixed Director on 'Prime Video' is '16'
Total Count of Mixed Director on 'Disney+' is '4'
plt.figure(figsize = (20, 5))
sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:5], y = mixed_directors_data_tvshows['Netflix'][:5], color = 'red')
sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:5], y = mixed_directors_data_tvshows['Hulu'][:5], color = 'lightgreen')
sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:5], y = mixed_directors_data_tvshows['Prime Video'][:5], color = 'lightblue')
sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:5], y = mixed_directors_data_tvshows['Disney+'][:5], color = 'darkblue')
plt.xlabel('Mixed Director', fontsize = 15)
plt.ylabel('TV Shows Count', fontsize = 15)
plt.show()
fig, axes = plt.subplots(2, 2, figsize = (20 , 20))
n_d_ax1 = sns.barplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Netflix'][:10], palette = 'Reds_r', ax = axes[0, 0])
h_d_ax2 = sns.barplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Hulu'][:10], palette = 'Greens_r', ax = axes[0, 1])
p_d_ax3 = sns.barplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Prime Video'][:10], palette = 'Blues_r', ax = axes[1, 0])
d_d_ax4 = sns.barplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Disney+'][:10], palette = 'BuPu_r', ax = axes[1, 1])
labels = ['Netflix', 'Hulu', 'Prime Video', 'Disney+']
n_d_ax1.title.set_text(labels[0])
h_d_ax2.title.set_text(labels[1])
p_d_ax3.title.set_text(labels[2])
d_d_ax4.title.set_text(labels[3])
plt.show()
fig, axes = plt.subplots(2, 2, figsize = (20 , 10))
n_md_ax1 = sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Netflix'][:10], color = 'red', ax = axes[0, 0])
h_md_ax2 = sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Hulu'][:10], color = 'lightgreen', ax = axes[0, 1])
p_md_ax3 = sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Prime Video'][:10], color = 'lightblue', ax = axes[1, 0])
d_md_ax4 = sns.lineplot(x = mixed_directors_data_tvshows['Mixed Director'][:10], y = mixed_directors_data_tvshows['Disney+'][:10], color = 'darkblue', ax = axes[1, 1])
labels = ['Netflix', 'Hulu', 'Prime Video', 'Disney+']
n_md_ax1.title.set_text(labels[0])
h_md_ax2.title.set_text(labels[1])
p_md_ax3.title.set_text(labels[2])
d_md_ax4.title.set_text(labels[3])
plt.show()
# Defining plot size and title
plt.figure(figsize = (20, 5))
plt.title('Mixed Director TV Shows Count Per Platform')
# Plotting the information from each dataset into a histogram
sns.kdeplot(netflix_mixed_directors_tvshows['Netflix'][:50], color = 'red', legend = True)
sns.kdeplot(hulu_mixed_directors_tvshows['Hulu'][:50], color = 'green', legend = True)
sns.kdeplot(prime_video_mixed_directors_tvshows['Prime Video'][:50], color = 'lightblue', legend = True)
sns.kdeplot(disney_mixed_directors_tvshows['Disney+'][:50], color = 'darkblue', legend = True)
# Setting the legend
plt.legend(['Netflix', 'Hulu', 'Prime Video', 'Disney+'])
plt.show()
fig, axes = plt.subplots(2, 2, figsize = (20 , 20))
n_md_ax1 = sns.barplot(x = netflix_mixed_directors_tvshows['Mixed Director'][:10], y = netflix_mixed_directors_tvshows['Netflix'][:10], palette = 'Reds_r', ax = axes[0, 0])
h_md_ax2 = sns.barplot(x = hulu_mixed_directors_tvshows['Mixed Director'][:10], y = hulu_mixed_directors_tvshows['Hulu'][:10], palette = 'Greens_r', ax = axes[0, 1])
p_md_ax3 = sns.barplot(x = prime_video_mixed_directors_tvshows['Mixed Director'][:10], y = prime_video_mixed_directors_tvshows['Prime Video'][:10], palette = 'Blues_r', ax = axes[1, 0])
d_md_ax4 = sns.barplot(x = disney_mixed_directors_tvshows['Mixed Director'][:10], y = disney_mixed_directors_tvshows['Disney+'][:10], palette = 'BuPu_r', ax = axes[1, 1])
labels = ['Netflix', 'Hulu', 'Prime Video', 'Disney+']
n_md_ax1.title.set_text(labels[0])
h_md_ax2.title.set_text(labels[1])
p_md_ax3.title.set_text(labels[2])
d_md_ax4.title.set_text(labels[3])
plt.show()
fig = go.Figure(go.Funnel(y = mixed_directors_data_tvshows['Mixed Director'][:10], x = mixed_directors_data_tvshows['TV Shows Count'][:10]))
fig.show()